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KAIST researchers have applied deep learning technology to 3D holographic microscopy, demonstrating the microscopy method’s potential for the practical study of cell interactions. The method holds implications for the study of cancer immunotherapy.
Previously, 3D holographic microscopy, or holotomography (HT), had been limited to the study of single cells, though never interactions between cells, due to the difficulty of segmentation, or distinguishing the different parts of a cell, and further, distinguishing between the interacting cells. Manual segmentation, where the user distinguishes the parts by hand, is time-consuming and difficult, making it impractical for pairing with 3D images.
To overcome this specifically,…READ MORE